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dd-apm

APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis, Data Streams Monitoring (DSM), queue lag, pipeline latency. Use for any request involving Datadog APM setup, instrumentation (SSI, ddtrace, agent install), or analysis.

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1 Oct 2026
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datadog-labs/agent-skills
Get it through your agent npx skills add datadog-labs/agent-skills@dd-apm

Skill instructions

Rendered from the published SKILL.md, 176 lines.

Datadog APM

Distributed tracing, service maps, and performance analysis.

Routing — Read This First

Match the user's request to one of the entries below. Each entry has the same shape: triggers → which sub-skill to load → the anti-pattern to avoid. If a request seems to fit more than one entry, see "Overlap disambiguation". If nothing matches, see "None of the above" at the end.


Kubernetes APM install / instrument / onboard — trigger when the user mentions Kubernetes, K8s, EKS, GKE, AKS, kind, minikube, K3s, helm, DatadogAgent CR, kubectl, SSI on a cluster, pod injection, or init containers.

Immediately read .claude/skills/dd-apm/k8s-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/k8s-ssi/enable-ssi/SKILL.md, then .claude/skills/dd-apm/k8s-ssi/verify-ssi/SKILL.md — do not proceed from memory.

Common wrong approaches that LOOK like they work but silently fail:

  • helm install datadog datadog/datadog — the standard chart does NOT support SSI via DatadogAgent CR.
  • Adding ddtrace imports or ddtrace-run to the app — SSI auto-instruments WITHOUT any code changes.
  • admission.datadoghq.com/enabled annotations — that's admission controller config injection, not SSI init container injection.

Linux APM install / instrument / onboard — trigger when the user mentions a single host, VM, EC2 instance, bare-metal, RHEL/Ubuntu/Debian, systemd, or no orchestrator.

Immediately read .claude/skills/dd-apm/linux-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/linux-ssi/enable-ssi/SKILL.md, then .claude/skills/dd-apm/linux-ssi/verify-ssi/SKILL.md — do not proceed from memory.

Do NOT install the agent via plain apt-get install datadog-agent (or yum equivalent) and assume SSI follows — host auto-instrumentation requires the install script with the SSI flags, which the sub-skill walks through.


Service rename / service remapping — trigger when the user mentions renaming a service, collapsing multiple service names, stripping suffixes/prefixes, or cleaning up inferred services.

Immediately read .claude/skills/dd-apm/service-remapping/SKILL.md now — do not proceed from memory.

Do NOT change tags.datadoghq.com/service labels or DD_SERVICE env vars to rename a service in Datadog. That requires a rollout and only affects new data. Use a service remapping rule — it rewrites the name at ingestion time with no deployment change.


Data Streams Monitoring (DSM) / queue and pipeline monitoring: trigger when the user mentions data streams, DSM, consumer or queue lag, pipeline latency, end-to-end latency across queues, or monitoring Kafka / RabbitMQ / SQS / SNS / Kinesis / Pub/Sub flows between services.

Immediately read .claude/skills/dd-apm/enable-dsm/SKILL.md now. Do not proceed from memory.

Do NOT install a separate DSM agent, package, or library. DSM runs in the Datadog SDK that APM already injected and is enabled with one setting per service. Do NOT enable it without first telling the user it is included with APM Pro and Enterprise and billed separately on base APM.


Overlap disambiguation

When a request could plausibly fit more than one entry above, use these tiebreakers:

Hint Route to
Cluster orchestrator mentioned (EKS/GKE/AKS/kind/K3s/minikube) — even if "just one node" k8s-ssi
Single host, VM, or EC2 with no orchestrator linux-ssi
"Several services that should be one" service-remapping — the sub-skill picks the rule type based on whether the duplicates are real instrumented services or inferred entities (DBs, queues, external APIs)
"My service shows under the wrong name" First check DD_SERVICE on the deploy. If correct and the name is still wrong → service-remapping.
"Monitor Kafka" / "monitor my queues" Ask whether they mean broker/cluster health (Kafka Console, an Agent check: https://docs.datadoghq.com/data_streams/kafka/setup/) or message flow between their services (enable-dsm)
"Reduce APM volume / cost / noise" No sub-skill yet. Ask whether the user means sampling (fewer ingested traces) or retention filters (less indexed data) before suggesting commands.

None of the above

If the request doesn't match any entry above, continue reading the trace-search, service analysis, and metrics content below. If even that doesn't fit, ask the user to clarify — do not invent a workflow.


Requirements

Datadog Labs Pup should be installed. See Setup Pup if not.

Command Execution Order (Token-Efficient)

For scoped commands, use this order:

  1. Check context first (prior outputs, conversation, saved values).
  2. If a required value is missing, run a discovery command first.
  3. If still ambiguous, ask the user to confirm.
  4. Then run the target command.
  5. Avoid speculative commands likely to fail.

Quick Start

pup auth login
# Confirm env tag with the user first (do not assume production/prod/prd).
pup apm services list --env <env> --from 1h --to now
pup traces search --query "service:api-gateway" --from 1h

Services

List Services

pup apm services list --env <env> --from 1h --to now
pup apm services stats --env <env> --from 1h --to now

Service Stats

pup apm services stats --env <env> --from 1h --to now

Service Map

# View dependencies
pup apm flow-map --query "service:api-gateway&from=$(($(date +%s)-3600))000&to=$(date +%s)000" --env <env> --limit 10

Traces

Search Traces

# By service
pup traces search --query "service:api-gateway" --from 1h

# Errors only
Show the whole skill (56 more lines)

pup traces search --query "service:api-gateway status:error" --from 1h

Slow traces (>1s)

pup traces search --query "service:api-gateway @duration:>1000ms" --from 1h

With specific tag

pup traces search --query "service:api-gateway @http.url:/api/users" --from 1h


### Trace Detail

```bash
# No direct get command for a single trace ID.
# Use traces search with a narrow query and time window.
pup traces search --query "trace_id:<trace_id>" --from 1h

Key Metrics

Metric What It Measures
trace.http.request.hits Request count
trace.http.request.duration Latency
trace.http.request.errors Error count
trace.http.request.apdex User satisfaction

Service Level Objectives

Link APM to SLOs:

pup slos create --file slo.json

Common Queries

Goal Query
Slowest endpoints avg:trace.http.request.duration{*} by {resource_name}
Error rate sum:trace.http.request.errors{*} / sum:trace.http.request.hits{*}
Throughput sum:trace.http.request.hits{*}.as_rate()

Troubleshooting

Problem Fix
No traces Check ddtrace installed, DD_TRACE_ENABLED=true
Missing service Verify DD_SERVICE env var
Traces not linked Check trace headers propagated
High cardinality Don't tag with user_id/request_id

References/Docs